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jetclustering
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# This script is used as a tool to make it easier to generate test jobs from clustering training
"""
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59 -step 40000 -template t3 -tag no_pid_eval_1 -gl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58 -step 40000 -template t3 -tag no_pid_eval_1 -gl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_700_07_2025_02_28_13_01_59 -step 40000 -template t3 -tag no_pid_eval_1 -gl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_AllData_2025_02_28_13_42_59 -step 40000 -template t3 -tag no_pid_eval_1 -gl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"

python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59 -step 40000 -template t3 -tag no_pid_eval_1 -pl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58 -step 40000 -template t3 -tag no_pid_eval_1 -pl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_700_07_2025_02_28_13_01_59 -step 40000 -template t3 -tag no_pid_eval_1 -pl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_AllData_2025_02_28_13_42_59 -step 40000 -template t3 -tag no_pid_eval_1 -pl --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"


python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59 -step 40000 -template t3 -tag no_pid_eval_1 --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58 -step 40000 -template t3 -tag no_pid_eval_1 --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_700_07_2025_02_28_13_01_59 -step 40000 -template t3 -tag no_pid_eval_1 --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
python -m scripts.generate_test_jobs -run LGATr_training_NoPID_10_16_64_0.8_AllData_2025_02_28_13_42_59 -step 40000 -template t3 -tag no_pid_eval_1 --custom-test-files "Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000 Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000  Feb26_2025_E1000_N500_folders/PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"
"""

#runs = ["LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59", "LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58", "LGATr_training_NoPID_10_16_64_0.8_700_07_2025_02_28_13_01_59", "LGATr_training_NoPID_10_16_64_0.8_AllData_2025_02_28_13_42_59"]

#runs1 = ["LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59", "LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58"]# Trained on 03_900, on scouting PFCands
#runs2 = ["LGATr_training_NoPIDGL_10_16_64_0.8_2025_03_17_20_05_04", "LGATr_training_NoPIDGL_10_16_64_2.0_2025_03_17_20_05_04"] # Trained on 03_900 dataset (rinv=0.3, m=900), Gen level
#runs_alldata = ["LGATr_training_NoPID_10_16_64_0.8_AllData_2025_02_28_13_42_59", ]
# Transformer
runs_tr = ["Transformer_training_NoPID_10_16_64_0.8_2025_03_03_15_55_50", "Transformer_training_NoPID_10_16_64_2.0_2025_03_03_17_00_38"]
#runs = runs1+runs2

# Test run with no filtering
#   "LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59": "900_03",
#         "LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58": "900_03",

#runs = runs_tr
runs = ["LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59", "LGATr_training_NoPID_10_16_64_2.0_2025_02_28_12_48_58"]
# TODO: add transformer runs into eval

#runs = runs_tr

#runs = ["LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_2025_03_27_12_46_12_740"] # test the aug. finetuning
#runs = ["LGATr_training_NoPID_10_16_64_2.0_Aug_Finetune_2025_03_27_17_09_14_641"] # R=2.0 version of the above run


runs = ["LGATr_training_NoPID_10_16_64_2.0_Aug_Finetune_vanishing_momentum_2025_03_28_10_43_36_81", "LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_vanishing_momentum_2025_03_28_10_43_37_44"]

runs = ["LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_vanishing_momentum_QCap05_2025_03_28_17_12_25_820", "LGATr_training_NoPID_10_16_64_2.0_Aug_Finetune_vanishing_momentum_QCap05_2025_03_28_17_12_26_400"]
# Parton-level training - loss seems very high, maybe something is wrong with the ds?

#runs = ["LGATr_training_NoPIDPL_10_16_64_2.0_2025_03_21_14_51_15_195"]
runs = ["LGATr_training_NoPID_10_16_64_2.0_Aug_Finetune_vanishing_momentum_QCap05_1e-2_2025_03_29_14_58_38_650", "LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_vanishing_momentum_QCap05_1e-2_2025_03_29_14_58_36_446"]
runs = ["LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_2025_03_27_12_46_12_740"]

# fixed 500 particles per event and pt=1e-2
runs = ["LGATr_pt_1e-2_500part_2025_04_01_10_33_28_457"]
runs = ["LGATr_pt_1e-2_500part_2025_04_01_12_18_23_661"]

# FT on parton-level + aug clustering
runs = ["LGATr_pt_1e-2_500part_2025_04_01_16_49_08_406"]

runs = ["LGATr_pt_1e-2_500part_2025_04_01_21_14_07_350"] + ["LGATr_pt_1e-2_500part_2025_04_01_16_49_08_406"]


#  Again eval on the 'old' run that was trained on 500 ghosts with pt=0.01
runs = ["LGATr_pt_1e-2_500part_2025_04_01_10_33_28_457"]

runs = ["LGATr_pt_1e-2_500part_NoQMin_2025_04_03_23_15_17_745", "LGATr_pt_1e-2_500part_NoQMin_2025_04_03_23_15_35_810"]
runs = ["LGATr_training_NoPID_10_16_64_0.8_Aug_Finetune_vanishing_momentum_2025_03_28_10_43_37_44", "LGATr_training_NoPID_10_16_64_2.0_Aug_Finetune_vanishing_momentum_2025_03_28_10_43_36_81"]


# Try to reproduce the results without qmin
runs = ["LGATr_pt_1e-2_500part_NoQMin_10_to_1000p_2025_04_04_12_57_47_788", "LGATr_pt_1e-2_500part_NoQMin_10_to_1000p_2025_04_04_12_57_51_536"]

runs = ["LGATr_pt_1e-2_500part_NoQMin_10_to_1000p_CW0_2025_04_04_15_30_16_839", "LGATr_pt_1e-2_500part_NoQMin_10_to_1000p_CW0_2025_04_04_15_30_20_113"]

runs = ["debug_IRC_loss_weighted100_plus_ghosts_2025_04_08_22_40_33_972"] # Short irc loss training, high coord loss - not super useful I think

runs = ["debug_IRC_loss_weighted100_plus_ghosts_2025_04_09_13_48_55_569",# Longer irc loss training, coord loss converges to a lower number - probably more useful - latest step 9960
        "LGATr_500part_NOQMin_2025_04_09_21_53_37_210"] # Reproduce the results with 500 ghosts, no qmin
#runs = ["debug_IRC_loss_weighted100_plus_ghosts_2025_04_09_13_48_55_569"] #just the 2nd one
#runs = ["debug_IRC_loss_weighted100_plus_ghosts_Qmin05_2025_04_09_14_45_51_381"] # qmin=0.5, otherwise same as above
#runs = ["debug_IRC_loss_weighted100_plus_ghosts_Qmin05_CoordLossWeight1_2025_04_09_15_29_29_203"]
#runs = ["IRC_loss_Split_and_Noise_alternate_NoAug_2025_04_11_16_15_48_955"] # Split and noise alternate
#runs = ["LGATr_training_NoPID_10_16_64_0.8_2025_02_28_12_42_59"] # pick step 50k of this one - results without ghosts (might work better on parton-level)

#runs = ["IRC_loss_Split_and_Noise_alternate_Aug_2025_04_14_11_10_21_788", "IRC_loss_Split_and_Noise_alternate_NoAug_2025_04_11_16_15_48_955"] # pick step 12900 of these


runs = [["LGATr_training_NoPID_Delphes_10_16_64_0.8_2025_04_17_18_07_38_405", 60000],
        ["LGATr_500part_NOQMin_Delphes_2025_04_19_11_15_24_417", 14820],
        ["Delphes_IRC_aug_SplitOnly_2025_04_20_15_50_33_553", 14280]
        ] # step 60k: initial clustering training on Delphes 900_03 dataset

#runs = ["LGATr_500part_NOQMin_Delphes_2025_04_19_11_15_24_417"]#, "Delphes_IRC_aug_2025_04_19_11_16_17_130"]#step 12660

#runs = ["Delphes_IRC_aug_SplitOnly_2025_04_20_15_50_33_553"] # IRC loss only with splitting
#runs = ["Delphes_IRC_NOAug_SplitOnly_2025_04_21_12_58_36_99", "Delphes_IRC_NOAug_SplitAndNoise_2025_04_21_19_32_08_865"]
#runs = ["CONT_Delphes_IRC_aug_SplitOnly_2025_04_21_12_53_27_730"]



# PFfix Delphes runs
runs = [
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 2000],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 4000],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 10000],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 20000],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 40000],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 50000],
]


runs = [
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 2000],
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 4000],
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 10000],
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 20000],
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 40000],
    #["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 50000],
    ["Transformer_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_05_20_755", 70000],
]

'''runs = [ #OLD GATR DONT USE
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 2000],
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 4000],
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 10000],
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 20000],
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 40000],
    ["GATr_training_NoPID_Delphes_PU_10_16_64_0.8_2025_05_03_18_35_48_163", 50000],
]
runs = [["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 70000]]

'''

runs = [
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 2000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 4000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 10000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 20000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 40000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_10_16_64_0.8_2025_05_05_13_06_27_898", 50000],
]


# IRC loss on L-GATr and its variants

runs = [
   # ["LGATr_Aug_2025_05_06_10_08_05_956", 15000], # LGATr with the ghosts training
    #["Delphes_Aug_IRCSplit_CONT_2025_05_07_11_00_18_422", 6180] # LGATr with the ghosts + IRC_split training
    #["Delphes_Aug_IRC_Split_and_Noise_2025_05_07_14_43_13_968", 15000]
    #["Delphes_Aug_IRCSplit_CONT_2025_05_07_11_00_18_422", 1320], ["LGATr_Aug_2025_05_06_10_08_05_956", 10140]
    ["LGATr_Aug_2025_05_06_10_08_05_956", 5040], ["Delphes_Aug_IRCSplit_2025_05_06_10_09_00_567", 5040]
]


# For the smaller dataset (500 event training) evaluation
run_ids = [
    #"GATr_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_05_16_24_13_579",
    "LGATr_training_NoPID_Delphes_PU_PFfix_SmallDS_10_16_64_0.8_2025_05_05_16_24_16_127",
    #"Transformer_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_05_16_24_19_936"
]

runs = []
for r in run_ids:
    for step in [10000,12000,16000, 20000]:
        runs.append([r, step])

runs = [
    #["Delphes_Aug_IRCSplit_50k_from10k_2025_05_11_14_08_49_675", 12900], # step 26k
    #["Delphes_Aug_IRCSplit_50k_2025_05_09_15_22_38_956", 9960],
    #["LGATr_Aug_50k_2025_05_09_15_25_32_34", 25020],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 50000]
]


# Different training DS study
'''runs = [
    ["LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 50000], # 900_03
    ["LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_16_19_44_46_795", 50000], # 700_07
    ["LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_16_19_46_57_48", 50000], # QCD
    ["LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_16_21_04_26_991", 50000], # 700_07 and 900_03
    ["LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_16_21_04_26_937", 50000] # 700_07, 900_03 and QCD
]'''

#runs = [["Delphes_Aug_IRCSplit_50k_SN_from3kFT_2025_05_16_14_07_29_474", 22020]]

'''runs = [
    ["LGATr_training_NoPID_Delphes_PU_PFfix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_875", 100],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_875", 500],
    ["LGATr_training_NoPID_Delphes_PU_PFfix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_875", 1000],
    ["Transformer_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_216", 100],
    ["Transformer_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_216", 500],
    ["Transformer_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_56_50_216", 1000],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_34_13_531", 100],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_34_13_531", 500],
    ["GATr_training_NoPID_Delphes_PU_CoordFix_SmallDS_10_16_64_0.8_2025_05_09_15_34_13_531", 1000]
]
'''

runs = [
    # GP RUNS
   # ["GP_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_19_21_29_06_946", 24000],
    #["GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_19_21_38_20_376", 24000],
   ["GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_20_13_12_54_359", 24000],
   ["GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_20_13_13_00_503", 24000],
]

'''
runs =  [ #GP IRC S
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_20_15_29_30_29", 24000],
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_20_15_29_28_959", 24000],
    # The above two have been started, the below two not yet
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_20_15_11_35_476", 24000],
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_20_15_11_20_735", 24000]
]'''

runs = [ # GP_IRC_SN TRAININGS
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_24_23_00_54_948", 24000],
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_24_23_00_56_910", 24000],
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_24_23_01_01_212", 24000],
    ["GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_24_23_01_07_703", 24000]
]
runs =[["Delphes_Aug_IRCSplit_50k_SN_from3kFT_2025_05_16_14_07_29_474", 21060]] #This SN starts from 3k

final_models = [
    # dataset, loss, run name, step
    # GP_IRC_SN
    ["900_03", "GP_IRC_SN", "Delphes_Aug_IRCSplit_50k_SN_from3kFT_2025_05_16_14_07_29_474", 21060],
    ["QCD", "GP_IRC_SN" "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_24_23_00_54_948", 24000],
    ["700_07+900_03+QCD", "GP_IRC_SN", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_24_23_00_56_910", 24000],
    ["700_07+900_03", "GP_IRC_SN", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_24_23_01_01_212", 24000],
    ["700_07", "GP_IRC_SN", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_24_23_01_07_703", 24000]

    # GP_IRC_S
    ["700_07+900_03", "GP_IRC_S", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_20_15_29_30_29", 24000],
    ["700_07+900_03+QCD", "GP_IRC_S", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_20_15_29_28_959", 24000],
    ["700_07", "GP_IRC_S", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_20_15_11_35_476", 24000],
    ["QCD", "GP_IRC_S", "GP_IRC_S_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_20_15_11_20_735", 24000],
    ["900_03", "GP_IRC_S", "Delphes_Aug_IRCSplit_50k_from10k_2025_05_11_14_08_49_675", 9960],

    # GP
    ["900_03", "GP", "LGATr_Aug_50k_2025_05_09_15_25_32_34", 24000],
    ["700_07", "GP", "GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_19_21_38_20_376", 24000],
    ["700_07+900_03", "GP", "GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_20_13_13_00_503", 24000],
    ["700_07+900_03+QCD", "GP", "GP_LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_20_13_12_54_359", 24000],
    ["QCD", "GP", "GP_LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_19_21_29_06_946", 24000]

    # Base training
    ["900_03", "base", "LGATr_training_NoPID_Delphes_PU_PFfix_10_16_64_0.8_2025_05_03_18_35_53_134", 50000],
    ["700_07", "base", "LGATr_training_NoPID_Delphes_PU_PFfix_700_07_10_16_64_0.8_2025_05_16_19_44_46_795", 50000],
    ["QCD", "base", "LGATr_training_NoPID_Delphes_PU_PFfix_QCD_events_10_16_64_0.8_2025_05_16_19_46_57_48", 50000],
    ["700_07+900_03", "base", "LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_10_16_64_0.8_2025_05_16_21_04_26_991", 50000],
    ["700_07+900_03+QCD", "base", "LGATr_training_NoPID_Delphes_PU_PFfix_700_07_AND_900_03_AND_QCD_10_16_64_0.8_2025_05_16_21_04_26_937", 50000]
]

test_files = [  "PFNano_s-channel_mMed-1000_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1000_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1000_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1100_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1100_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1100_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1200_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-1200_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-700_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-800_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-800_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-800_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-900_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-900_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
                "PFNano_s-channel_mMed-900_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000"
              ]


test_files_smaller = ["PFNano_s-channel_mMed-1000_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1000_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1000_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1100_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1100_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1100_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1200_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-1200_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-700_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-1000",
"PFNano_s-channel_mMed-800_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-1000"]

test_files_delphes = ['SVJ_mZprime-1100_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1500_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1000_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1400_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1100_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1300_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1500_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1000_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1400_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1500_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1300_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1100_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1300_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1400_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1000_mDark-20_rinv-0.3_alpha-peak']
test_files_delphes = 'SVJ_mZprime-1000_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1000_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1000_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1100_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1100_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1100_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-1200_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-700_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-800_mDark-20_rinv-0.7_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.3_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.5_alpha-peak', 'SVJ_mZprime-900_mDark-20_rinv-0.7_alpha-peak'


#test_files = ["Feb26_2025_E1000_N500_noPartonFilter_C_F/" + x for x in test_files]
#test_files = ["Feb26_2025_E1000_N500_noPartonFilter_GluonFixF/" + x for x in test_files]
test_files = ["Feb26_2025_E1000_N500_noPartonFilter_GluonFix_Small2K_F_part0/" + x for x in test_files]
#test_files = ["Feb26_2025_E1000_N500_folders/" + x for x in test_files_smaller]
test_files = ["Delphes_020425_test_PU_PFfix_part0/" + x for x in test_files_delphes] # Delphes test files

#print("QCD")
#test_files = ["QCD_test_part0/qcd_test"]
print("------")

for run, step in runs:
    #for level in ["-pl", ""]:
    #for level in ["-pl", ""]:
    for level in ["-gl", "", "-pl"]:
    #for level in ["-pl"]:
    #for level in ["-gl", "-pl", ""]:
    #for level in [""]:
    #for aug_suffix in ["-aug-soft"]:
        aug_suffixes = ["-aug-soft"]
        if step >= 40000:
            aug_suffixes = [""] # without ghosts for the base clustering
        #aug_suffixes = [""]
        for aug_suffix in aug_suffixes:
            print("python -m scripts.generate_test_jobs -run {} -step {} --steps-from-zero -template t3 -tag DelphesPFfix_FullDataset_TrainDSstudy  {} --custom-test-files \"{}\" {} ".format(run, step, level, " ".join(test_files), aug_suffix))
print("-----")